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气象条件与非药物干预共同决定了中国41个城市新冠病毒的本地传播力:一项回顾性观察研究

Meteorological conditions and nonpharmaceutical interventions jointly determined local transmissibility of COVID-19 in 41 Chinese cities: A retrospective observational study.

作者信息

Fang Li-Qun, Zhang Hai-Yang, Zhao Han, Che Tian-Le, Zhang An-Ran, Liu Ming-Jin, Shi Wen-Qiang, Guo Jian-Ping, Zhang Yong, Liu Wei, Yang Yang

机构信息

State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, PR China.

School of Mathematical Sciences, Beijing Normal University, Beijing 100875, PR China.

出版信息

Lancet Reg Health West Pac. 2020 Sep;2:100020. doi: 10.1016/j.lanwpc.2020.100020. Epub 2020 Sep 6.

Abstract

BACKGROUND

Before effective vaccines become widely available, sufficient understanding of the impacts of climate, human movement and non-pharmaceutical interventions on the transmissibility of COVID-19 is needed but still lacking.

METHODS

We collected by crowdsourcing a database of 11 003 COVID-19 cases from 305 cities outside Hubei Province from December 31, 2019 to April 27, 2020. We estimated the daily effective reproduction numbers ( ) of COVID-19 in 41 cities where the crowdsourced case data are comparable to the official surveillance data. The impacts of meteorological variables, human movement indices and nonpharmaceutical emergency responses on were evaluated with generalized estimation equation models.

FINDINGS

The median was 0•46 (IQR: 0•37-0•87) in the northern cities, higher than 0•20 (IQR: 0•09-0•52) in the southern cities (=0•004). A higher local transmissibility of COVID-19 was associated with a low temperature, a relative humidity near 70-75%, and higher intracity and intercity human movement. An increase in temperature from 0℃ to 20℃ would reduce by 30% (95 CI 10-46%). A further increase to 30℃ would result in another 17% (95% CI 5-27%) reduction. An increase in relative humidity from 40% to 75% would raise the transmissibility by 47% (95% CI 9-97%), but a further increase to 90% would reduce the transmissibility by 12% (95% CI 4-19%). The decrease in intracity human movement as a part of the highest-level emergency response in China reduced the transmissibility by 36% (95% CI 27-44%), compared to 5% (95% CI 1-9%) for restricting intercity transport. Other nonpharmaceutical interventions further reduced by 39% (95% CI 31-47%).

INTERPRETATION

Climate can affect the transmission of COVID-19 where effective interventions are implemented. Restrictions on intracity human movement may be needed in places where other nonpharmaceutical interventions are unable to mitigate local transmission.

FUNDING

China Mega-Project on Infectious Disease Prevention; U.S. National Institutes of Health and National Science Foundation.

摘要

背景

在有效疫苗广泛可得之前,需要充分了解气候、人员流动和非药物干预对新冠病毒传播性的影响,但目前仍缺乏相关认识。

方法

我们通过众包收集了一个数据库,涵盖2019年12月31日至2020年4月27日湖北省以外305个城市的11003例新冠病例。我们估算了41个城市中新冠病毒的每日有效繁殖数( ),这些城市众包的病例数据与官方监测数据具有可比性。使用广义估计方程模型评估气象变量、人员流动指数和非药物应急响应对 的影响。

研究结果

北方城市的 中位数为0.46(四分位距:0.37 - 0.87),高于南方城市的0.20(四分位距:0.09 - 0.52)(P = 0.004)。新冠病毒在当地较高的传播性与低温、相对湿度接近70 - 75%以及城市内部和城市间较高的人员流动有关。温度从0℃升高到20℃会使 降低30%(95%置信区间10 - 46%)。进一步升高到30℃会导致再降低17%(95%置信区间5 - 27%)。相对湿度从40%增加到75%会使传播性提高47%(95%置信区间9 - 97%),但进一步增加到90%会使传播性降低12%(95%置信区间4 - 19%)。作为中国最高级别应急响应一部分的城市内部人员流动减少使传播性降低了36%(95%置信区间27 - 44%),相比之下,限制城市间交通使传播性降低了5%(95%置信区间1 - 9%)。其他非药物干预措施使 进一步降低了39%(95%置信区间31 - 47%)。

解读

在实施有效干预措施的地方,气候会影响新冠病毒的传播。在其他非药物干预措施无法减轻当地传播的地方,可能需要限制城市内部人员流动。

资金来源

中国传染病预防重大项目;美国国立卫生研究院和美国国家科学基金会。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2117/8315441/995499aefddd/gr1.jpg

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